BrowserBash vs Everywhere: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of BrowserBash and Everywhere — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
BrowserBash
The Testing Academy
Free, open-source CLI that turns plain-English objectives into real browser automation driven by an AI agent on local or cloud models.
Key features
- Natural-language automation: Turns one plain-English sentence into a real browser test with no selectors or code.
- Free local or cloud models: Runs on free Ollama or OpenRouter models with zero required API keys.
- NDJSON event stream: Emits structured run events that CI and AI agents can consume directly.
- Dashboard with replays: A free account adds run history, video recordings, and per-run replay.
- Open source Apache-2.0: Fully open-source CLI installable via a single npm command.
- Bring-your-own key option: Optionally use an Anthropic or OpenRouter key for stronger models.
Best for
- Writing end-to-end browser tests from plain-English descriptions.
- Running automated UI checks inside CI pipelines via the NDJSON stream.
- Letting AI agents drive a real browser to complete web tasks.
- Recording and replaying runs to debug flaky web flows.
- Automating repetitive website actions without writing selectors.
Everywhere
Sylinko (DearVa)
Context-aware desktop AI assistant that senses your screen, understands application context, and acts in-place across platforms.
Key features
- Context-Aware Invocation: Captures text and UI context directly from the screen so the assistant can answer or act without manual screenshots, copying, or app switching.
- Multimodel Provider Support: Connects to numerous LLM/MCP providers (OpenAI, Anthropic/Claude, Google Gemini, Ollama, DeepSeek, Moonshot, OpenRouter, SiliconCloud) allowing flexible model selection and fallbacks.
- Inline Overlay UI: Modern frosted-glass overlay summoned via keyboard shortcuts that renders Markdown, supports voice input, and displays contextual responses adjacent to the relevant UI element.
- Actionable Responses: Beyond explanations, the assistant can draft emails, translate text, summarize web pages, analyze error messages, and propose step-by-step fixes based on captured context.
- Cross-Platform Desktop Integration: Built with .NET and Avalonia to run on Windows, macOS, and Linux with deep desktop integration for consistent experience.
- Extensibility and Open Source: Distributed under Apache-2.0 with community discussions and contribution paths on GitHub; supports plugins and integration with external tools.
- Privacy and Self-Hosting Friendly: Local client that can be configured to use user-supplied API keys and model endpoints, enabling control over which services process data.